Update README.md

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/kb/366lqkyd3lgbq2mm2m_r0cx00000gn/T/tmprmo96kxm/Shankhdhar/ecommerce_query_classifier
+#Shankhdhar/ecommerce_query_classifier
 
 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
 
@@ -28,7 +28,7 @@ You can then run inference as follows:
 from setfit import SetFitModel
 
 # Download from Hub and run inference
-model = SetFitModel.from_pretrained("/var/folders/kb/366lqkyd3lgbq2mm2m_r0cx00000gn/T/tmprmo96kxm/Shankhdhar/ecommerce_query_classifier")
+model = SetFitModel.from_pretrained("Shankhdhar/ecommerce_query_classifier")
 # Run inference
 preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 ```